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May, 2022
面向拓扑的端到端电力系统可靠性评估机器学习
End-to-End Topology-Aware Machine Learning for Power System Reliability Assessment
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Yongli Zhu, Chanan Singh
TL;DR
本研究探讨使用端到端机器学习直接预测可靠性指标，提出了基于输入特征的系统阻抗矩阵编码的机器学习流程，通过对输电线路的定期维护对特定拓扑变化的影响进行考虑，使用支持向量机和Boosting Trees进行训练和比较，实验证明了该方法在可靠性评估中的适用性。
Abstract
Conventional
power system reliability
suffers from the long run time of Monte Carlo simulation and the dimension-curse of analytic enumeration methods. This paper proposes a preliminary investigation on
end-to-end machi
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